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Powerly
- 本文分析小波神经网络的特点重点研究在电力负荷预测中连续小波神经网络与BP神经网络相比具有的优缺点对认识和应用小波神经网络具有重要意义算例表明在网络结构相同的情况下连续小波神经网络比BP神经网络具有更高的预测精度-wavelet analysis of this neural network research focused on the characteristics of the power load forecasting continuous wavelet neural network
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- 用遗传算法和神经网络混合算法预测电力短期负荷预测,是遗传算法的典型应用-Using genetic algorithm and neural network hybrid algorithm to forecast the electricity short-term load forecasting is a typical application of genetic algorithms
fuheyucelunwen
- 针对电力系统短期负荷预测,给出了一些实际可行的方法,比如包括96点负荷预测方法,以及其他方法,运用的都是一些比较智能的方法,比如神经网络,支持向量机,等等。-fuheyuce
jiemian
- 神经网络的BP界面,可以用此软件进行电力系统的短期负荷预测-BP neural network interface, you can use this software to power system short term load forecasting
chengxu
- gm(1,1)灰色预测模型,可以进行各种预测。短期的电力负荷预测尤其的好。也可以进行中长期的预测,但是效果没有短期的好。-gm (1,1) Grey forecasting model can predict all kinds. Short-term load forecasting particularly well. Can also make long-term forecast, but they were not short of good.
fuhe12110--o
- 一个MATLAB报告,是电力系统负荷预测方面的-Report of a communication theory, written in great detail, is what MATLAB side
GM
- 用C#写的电力负荷预测,灰色预测源代码!-Using C# to write load forecasting, gray prediction source code!
Chaos-power-load-forecasting
- 电力负荷的混沌预测方法 电力负荷的方法很多~~本文是基于混沌-Chaos power load forecasting method
[计及需求响应的配电网短期负荷精细化预测]
- 计及需求响应的配电网短期负荷精细化预测(Fine forecasting of short term load of distribution network considering demand response)
yucemoxing
- matlab应用关于Elman神经网络的数据预测(Matlab Application on data prediction of Elman neural network)
LoadPriceForecastingFileExchange
- 考虑时间与温度等因素,对电力系统进行的负荷预测(Consider factors such as time and temperature, predicting the load of power system.)
基于MATLAB的供热负荷调节方法
- 运行优化的相关算法和电力负荷预测的程序,有全套的数据和输出结果(Relevant algorithm of operation optimization and program of power load forecasting)
lssvm-iron
- 使用lssvm预测钢铁行业电量,使用于电力负荷预测人员使用(Using LSSVM to predict the power of iron and steel industry)
LVQ神经网络的预测——人脸朝向识别
- Elman神经网络的数据预测----电力负荷预测模型研究(Intelligent algorithm, neural network, Elman neural network, data prediction, power load forecasting model.)
Elman网络模型
- Elman神经网络的数据预测—电力负荷预测模型研究,非常不错的神经网络(Elman neural network data prediction power load forecasting model research, a very good neural network.)
电力系统短期负荷预测的研究
- 针对短期负荷预测的特点,通过各因子与负荷数据的相关性分析来评价各因子对于负荷预测的影响,从中选取最合适的影响因素作为训练样本。并对气温的积累效应进行了深入的研究,引入了错位样本概念,将其加入到训练样本中提高了预测精度。(In view of the characteristics of short-term load forecasting, the influence of each factor on load forecasting is evaluated through the cor
LoadForecastingAustralia
- 澳大利亚电力负荷与价格预测,用于功率预测的数据输入(Electricity Load & Price Forecasting for the Australian Market)
fuheyuce
- 基于BP神经网络的电力系统日负荷预测,模型采用24个输入,24个输出,训练次数为10000,训练目标为0.5,学习速率设置为0.1。(Load forecasting based on BP neural network, the model uses 24 inputs, 24 outputs, the number of training is 10000, the training target is 0.5, the learning rate is set to 0.1.)
BP
- 应用BP神经网络预测电力负荷。代码详解。适合毕业设计,课设(Prediction of Electric Load Based on BP Neural Network)
Elman神经网络预测电力负载
- Elman神经网络建立建筑物电力负荷预测模型中遇到的几个关键问题有,数据归一化处理、输入输出样本的选取、隐含层节点数的确定;分别建立Elman神经网络模型,并利用某栋建筑物实际历史电力负载数据进行预测,分析比较与实际数据值的预测精度,得出了一个有效的数据预测模型。(Several key problems encountered in building power load forecasting model based on Elman neural network are data norm